docs: def _add_outcome_evidence(self, association, outcome):
          """
          :param association: str association curie
          :param outcome: dict (json)
          :return: None
          """
          evidence = Evidence(self.graph, association)
          source = {
              'curie': "DOI:10.5061/dryad.8q0s4/1",
              'label': "Data from: A curated and standardized adverse "
                       "drug event resource to accelerate drug safety research",
              'type': self.globaltt['data set']
          }
          reference = {
              'curie': "PMID:27193236",
              'label': None,
              'type': self.globaltt['publication']
          }
          evidence_curie = self.make_id("{0}{1}{2}".format(
              association, outcome['id'], self.name
          ))
          evidence_type = self.globaltt['clinical study evidence']
          evidence.add_supporting_evidence(evidence_curie, evidence_type)
  
          evidence.add_supporting_publication(
              evidence_curie, reference['curie'], reference['label'],
              reference['type'])
  
          evidence.add_source(
              evidence_curie, source['curie'], source['label'], source['type'])
  
          count_bnode = self.make_id(
              "{0}{1}{2}".format(evidence_curie,
                                 outcome['case_count'], self.name), prefix="_")
          pr_ratio_bnode = self.make_id(
              "{0}{1}{2}{3}".format(evidence_curie, outcome['prr'], self.name, 'prr'),
              prefix="_")
          odds_ratio_bnode = self.make_id(
              "{0}{1}{2}{3}".format(evidence_curie, outcome['ror'], self.name, 'ror'),
              prefix="_")
  
          evidence.add_data_individual(
              count_bnode, ind_type=self.globaltt['count'])
          evidence.add_data_individual(
              pr_ratio_bnode,
              ind_type=self.globaltt['proportional_reporting_ratio'])
          evidence.add_data_individual(
              odds_ratio_bnode, ind_type=self.globaltt['odds_ratio'])
  
          value_map = {
              count_bnode: outcome['case_count'],
              pr_ratio_bnode: outcome['prr'],
              odds_ratio_bnode: outcome['ror']
          }
          evidence.add_supporting_data(evidence_curie, value_map)
          return